Results 31 to 40 of about 115,501 (297)
The Indian Journal of Agricultural Sciences, 2020 The objective of present investigation was to study the trends in harvested area, production and productivity, and growth rates of natural rubber (Hevea brasiliensis) in Tamil Nadu from April 1991 to March 2016 by employing parametric models. The annual
SHYJU MATHEW, RAMASAMY MURUGESAN
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Forecasting of Carbon Emissions in India Using Bayesian ARIMA and BSTS Approaches: Evidence from Environmental Sustainability [PDF]
Nature Environment and Pollution TechnologyThis study uses a completely Bayesian method to analyze and forecast per-capita CO2 emissions in India by comparing the performance of the Bayesian Autoregressive Integrated Moving Average (ARIMA) and Bayesian Structural Time Series (BSTS) models.
Palanisamy Manigandan, Duraisamy Pachiyappan, Jeena Radhamma and Nadia Sha
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Corrected Bayesian Information Criterion for Stochastic Block Models [PDF]
Journal of the American Statistical Association, 2019 42 pages, major revision. Change the title to "Corrected Bayesian information criterion for stochastic block models"
Jianwei Hu +3 more
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A comparative review of dimension reduction methods in approximate Bayesian computation [PDF]
, 2013 Approximate Bayesian computation (ABC) methods make use of comparisons between simulated and observed summary statistics to overcome the problem of computationally intractable likelihood functions.
Prangle, D. +6 more
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Economies, 2020 Only unstructured single-path model selection techniques, i.e., Information Criteria, are used by Bounds test of cointegration for model selection.
Waqar Badshah, Mehmet Bulut
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Italian Journal of Animal Science, 2021 In endangered donkey populations, reproductive performance is one the most important areas to study, provided its connection with conservation opportunities.
Ana Martins-Bessa +6 more
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Deviance information criterion (DIC) in Bayesian multiple QTL mapping [PDF]
Computational Statistics & Data Analysis, 2009 Mapping multiple quantitative trait loci (QTL) is commonly viewed as a problem of model selection. Various model selection criteria have been proposed, primarily in the non-Bayesian framework. The deviance information criterion (DIC) is the most popular criterion for Bayesian model selection and model comparison but has not been applied to Bayesian ...
Daniel Shriner, Nengjun Yi
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, 2023 Calculated values of the Akaike information criterion (AIC) and Bayesian information criterion (BIC) in each risk scoring model.
Farhad Pishgar (4066207) +12 more
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Variable selection in generalized random coefficient autoregressive models
Journal of Inequalities and Applications, 2018 In this paper, we consider the variable selection problem of the generalized random coefficient autoregressive model (GRCA). Instead of parametric likelihood, we use non-parametric empirical likelihood in the information theoretic approach. We propose an
Zhiwen Zhao, Yangping Liu, Cuixin Peng
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On uncertainty-penalized Bayesian information criterion
CoRR4 pages, 2 ...
Pongpisit Thanasutives, Ken-ichi Fukui
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